from sklearn_benchmarks.reporting.hp_match import HPMatchReporting
import pandas as pd
pd.set_option('display.max_colwidth', None)
pd.set_option('display.max_columns', None)
pd.set_option('display.max_rows', None)
reporting = HPMatchReporting("sklearnex", config="config.yml")
reporting.run()
KNeighborsClassifier_brute_force¶scikit-learn-intelex (2021.20210705.191215) vs. scikit-learn (1.0.dev0)
All estimators share the following hyperparameters: algorithm=brute.
| estimator | is_onnx | function | n_samples_train | n_samples | n_features | mean_duration_sklearn | std_duration_sklearn | n_iter | best_iteration | iteration_throughput | latency | n_jobs | n_neighbors | accuracy_score_sklearn | accuracy_score_sklearnex | mean_duration_sklearnex | std_duration_sklearnex | speedup | std_speedup | sklearn_profiling | sklearnex_profiling | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | KNeighborsClassifier_brute_force | False | fit | 100000 | 100000 | 100 | 0.012 | 0.0 | NaN | NaN | 6.567 | 0.0 | -1 | 1 | NaN | NaN | 0.058 | 0.000 | 0.211 | 0.211 | See | See |
| 5 | KNeighborsClassifier_brute_force | False | fit | 100000 | 100000 | 100 | 0.012 | 0.0 | NaN | NaN | 6.731 | 0.0 | -1 | 5 | NaN | 1.000 | 0.009 | 0.000 | 1.364 | 1.365 | See | See |
| 10 | KNeighborsClassifier_brute_force | False | fit | 100000 | 100000 | 100 | 0.013 | 0.0 | NaN | NaN | 6.056 | 0.0 | 1 | 100 | NaN | 0.875 | 0.206 | 0.002 | 0.064 | 0.064 | See | See |
| 15 | KNeighborsClassifier_brute_force | False | fit | 100000 | 100000 | 100 | 0.012 | 0.0 | NaN | NaN | 6.829 | 0.0 | -1 | 100 | NaN | NaN | 0.047 | 0.000 | 0.251 | 0.251 | See | See |
| 20 | KNeighborsClassifier_brute_force | False | fit | 100000 | 100000 | 100 | 0.012 | 0.0 | NaN | NaN | 6.665 | 0.0 | 1 | 5 | NaN | 1.000 | 0.001 | 0.000 | 16.947 | 17.281 | See | See |
| 25 | KNeighborsClassifier_brute_force | False | fit | 100000 | 100000 | 100 | 0.012 | 0.0 | NaN | NaN | 6.896 | 0.0 | 1 | 1 | NaN | 0.975 | 0.060 | 0.001 | 0.195 | 0.195 | See | See |
| 30 | KNeighborsClassifier_brute_force | False | fit | 100000 | 100000 | 2 | 0.005 | 0.0 | NaN | NaN | 0.352 | 0.0 | -1 | 1 | NaN | NaN | 0.009 | 0.000 | 0.526 | 0.526 | See | See |
| 35 | KNeighborsClassifier_brute_force | False | fit | 100000 | 100000 | 2 | 0.005 | 0.0 | NaN | NaN | 0.355 | 0.0 | -1 | 5 | NaN | 1.000 | 0.001 | 0.000 | 6.022 | 6.245 | See | See |
| estimator | is_onnx | function | n_samples_train | n_samples | n_features | mean_duration_sklearn | std_duration_sklearn | n_iter | best_iteration | iteration_throughput | latency | n_jobs | n_neighbors | accuracy_score_sklearn | accuracy_score_sklearnex | mean_duration_sklearnex | std_duration_sklearnex | speedup | std_speedup | sklearn_profiling | sklearnex_profiling | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | KNeighborsClassifier_brute_force | True | predict | 100000 | 1000 | 100 | 16.904 | 0.015 | NaN | NaN | 0.000 | 0.017 | -1 | 1 | 0.663 | 0.687 | 0.170 | 0.000 | 99.719 | 99.719 | See | See |
| 2 | KNeighborsClassifier_brute_force | False | predict | 100000 | 1000 | 100 | 1.875 | 0.022 | NaN | NaN | 0.000 | 0.002 | -1 | 1 | 0.663 | 1.000 | 0.009 | 0.000 | 215.903 | 216.084 | See | See |
| 3 | KNeighborsClassifier_brute_force | True | predict | 100000 | 1 | 100 | 0.297 | 0.007 | NaN | NaN | 0.000 | 0.297 | -1 | 1 | 1.000 | NaN | 0.046 | 0.000 | 6.395 | 6.395 | See | See |
| 4 | KNeighborsClassifier_brute_force | False | predict | 100000 | 1 | 100 | 0.025 | 0.003 | NaN | NaN | 0.000 | 0.025 | -1 | 1 | 1.000 | 0.742 | 0.172 | 0.002 | 0.146 | 0.146 | See | See |
| 6 | KNeighborsClassifier_brute_force | True | predict | 100000 | 1000 | 100 | 16.820 | 0.037 | NaN | NaN | 0.000 | 0.017 | -1 | 5 | 0.757 | NaN | 0.046 | 0.000 | 363.376 | 363.376 | See | See |
| 7 | KNeighborsClassifier_brute_force | False | predict | 100000 | 1000 | 100 | 2.739 | 0.033 | NaN | NaN | 0.000 | 0.003 | -1 | 5 | 0.757 | 0.875 | 0.206 | 0.001 | 13.311 | 13.311 | See | See |
| 8 | KNeighborsClassifier_brute_force | True | predict | 100000 | 1 | 100 | 0.301 | 0.008 | NaN | NaN | 0.000 | 0.301 | -1 | 5 | 1.000 | 0.000 | 0.009 | 0.000 | 34.300 | 34.321 | See | See |
| 9 | KNeighborsClassifier_brute_force | False | predict | 100000 | 1 | 100 | 0.025 | 0.003 | NaN | NaN | 0.000 | 0.025 | -1 | 5 | 1.000 | NaN | 0.046 | 0.000 | 0.547 | 0.547 | See | See |
| 11 | KNeighborsClassifier_brute_force | True | predict | 100000 | 1000 | 100 | 16.926 | 0.031 | NaN | NaN | 0.000 | 0.017 | 1 | 100 | 0.882 | 0.000 | 0.009 | 0.000 | 1923.682 | 1925.070 | See | See |
| 12 | KNeighborsClassifier_brute_force | False | predict | 100000 | 1000 | 100 | 2.029 | 0.002 | NaN | NaN | 0.000 | 0.002 | 1 | 100 | 0.882 | NaN | 0.047 | 0.000 | 43.623 | 43.623 | See | See |
| 13 | KNeighborsClassifier_brute_force | True | predict | 100000 | 1 | 100 | 0.303 | 0.006 | NaN | NaN | 0.000 | 0.303 | 1 | 100 | 1.000 | 0.742 | 0.171 | 0.001 | 1.770 | 1.770 | See | See |
| 14 | KNeighborsClassifier_brute_force | False | predict | 100000 | 1 | 100 | 0.022 | 0.003 | NaN | NaN | 0.000 | 0.022 | 1 | 100 | 1.000 | 1.000 | 0.009 | 0.000 | 2.491 | 2.492 | See | See |
| 16 | KNeighborsClassifier_brute_force | True | predict | 100000 | 1000 | 100 | 16.874 | 0.018 | NaN | NaN | 0.000 | 0.017 | -1 | 100 | 0.882 | 0.687 | 0.169 | 0.000 | 99.831 | 99.831 | See | See |
| 17 | KNeighborsClassifier_brute_force | False | predict | 100000 | 1000 | 100 | 2.727 | 0.031 | NaN | NaN | 0.000 | 0.003 | -1 | 100 | 0.882 | 1.000 | 0.009 | 0.000 | 315.711 | 316.042 | See | See |
| 18 | KNeighborsClassifier_brute_force | True | predict | 100000 | 1 | 100 | 0.315 | 0.006 | NaN | NaN | 0.000 | 0.315 | -1 | 100 | 1.000 | NaN | 0.008 | 0.000 | 37.077 | 37.077 | See | See |
| 19 | KNeighborsClassifier_brute_force | False | predict | 100000 | 1 | 100 | 0.024 | 0.002 | NaN | NaN | 0.000 | 0.024 | -1 | 100 | 1.000 | 0.967 | 0.025 | 0.000 | 0.947 | 0.947 | See | See |
| 21 | KNeighborsClassifier_brute_force | True | predict | 100000 | 1000 | 100 | 16.806 | 0.025 | NaN | NaN | 0.000 | 0.017 | 1 | 5 | 0.757 | NaN | 0.009 | 0.000 | 1947.692 | 1947.692 | See | See |
| 22 | KNeighborsClassifier_brute_force | False | predict | 100000 | 1000 | 100 | 2.024 | 0.004 | NaN | NaN | 0.000 | 0.002 | 1 | 5 | 0.757 | 0.974 | 0.027 | 0.000 | 76.131 | 76.132 | See | See |
| 23 | KNeighborsClassifier_brute_force | True | predict | 100000 | 1 | 100 | 0.305 | 0.005 | NaN | NaN | 0.000 | 0.305 | 1 | 5 | 1.000 | 1.000 | 0.001 | 0.000 | 421.611 | 428.248 | See | See |
| 24 | KNeighborsClassifier_brute_force | False | predict | 100000 | 1 | 100 | 0.021 | 0.000 | NaN | NaN | 0.000 | 0.021 | 1 | 5 | 1.000 | NaN | 0.009 | 0.000 | 2.429 | 2.429 | See | See |
| 26 | KNeighborsClassifier_brute_force | True | predict | 100000 | 1000 | 100 | 17.224 | 0.061 | NaN | NaN | 0.000 | 0.017 | 1 | 1 | 0.663 | 1.000 | 0.001 | 0.000 | 21372.350 | 21612.701 | See | See |
| 27 | KNeighborsClassifier_brute_force | False | predict | 100000 | 1000 | 100 | 1.174 | 0.008 | NaN | NaN | 0.001 | 0.001 | 1 | 1 | 0.663 | NaN | 0.009 | 0.000 | 135.927 | 135.927 | See | See |
| 28 | KNeighborsClassifier_brute_force | True | predict | 100000 | 1 | 100 | 0.303 | 0.005 | NaN | NaN | 0.000 | 0.303 | 1 | 1 | 1.000 | 0.975 | 0.059 | 0.000 | 5.103 | 5.103 | See | See |
| 29 | KNeighborsClassifier_brute_force | False | predict | 100000 | 1 | 100 | 0.020 | 0.000 | NaN | NaN | 0.000 | 0.020 | 1 | 1 | 1.000 | 1.000 | 0.001 | 0.000 | 25.311 | 25.829 | See | See |
| 31 | KNeighborsClassifier_brute_force | True | predict | 100000 | 1000 | 2 | 3.703 | 0.003 | NaN | NaN | 0.000 | 0.004 | -1 | 1 | 0.896 | 0.974 | 0.027 | 0.003 | 134.810 | 135.414 | See | See |
| 32 | KNeighborsClassifier_brute_force | False | predict | 100000 | 1000 | 2 | 1.726 | 0.012 | NaN | NaN | 0.000 | 0.002 | -1 | 1 | 0.896 | 1.000 | 0.001 | 0.000 | 2372.856 | 2402.700 | See | See |
| 33 | KNeighborsClassifier_brute_force | True | predict | 100000 | 1 | 2 | 0.239 | 0.004 | NaN | NaN | 0.000 | 0.239 | -1 | 1 | 1.000 | NaN | 0.009 | 0.000 | 27.770 | 27.770 | See | See |
| 34 | KNeighborsClassifier_brute_force | False | predict | 100000 | 1 | 2 | 0.007 | 0.003 | NaN | NaN | 0.000 | 0.007 | -1 | 1 | 1.000 | 0.967 | 0.025 | 0.000 | 0.287 | 0.287 | See | See |
KNeighborsClassifier_kd_tree¶scikit-learn-intelex (2021.20210705.191215) vs. scikit-learn (1.0.dev0)
All estimators share the following hyperparameters: algorithm=kd_tree.
| estimator | is_onnx | function | n_samples_train | n_samples | n_features | mean_duration_sklearn | std_duration_sklearn | n_iter | best_iteration | iteration_throughput | latency | n_jobs | n_neighbors | accuracy_score_sklearn | accuracy_score_sklearnex | mean_duration_sklearnex | std_duration_sklearnex | speedup | std_speedup | sklearn_profiling | sklearnex_profiling | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | KNeighborsClassifier_kd_tree | False | fit | 1000000 | 1000000 | 10 | 2.847 | 0.0 | NaN | NaN | 0.028 | 0.0 | -1 | 1 | NaN | NaN | 0.791 | 0.000 | 3.600 | 3.600 | See | See |
| 5 | KNeighborsClassifier_kd_tree | False | fit | 1000000 | 1000000 | 10 | 3.541 | 0.0 | NaN | NaN | 0.023 | 0.0 | -1 | 5 | NaN | 1.000 | 0.000 | 0.000 | 8063.217 | 8996.895 | See | See |
| 10 | KNeighborsClassifier_kd_tree | False | fit | 1000000 | 1000000 | 10 | 3.552 | 0.0 | NaN | NaN | 0.023 | 0.0 | 1 | 100 | NaN | 0.940 | 0.617 | 0.005 | 5.755 | 5.755 | See | See |
| 15 | KNeighborsClassifier_kd_tree | False | fit | 1000000 | 1000000 | 10 | 3.581 | 0.0 | NaN | NaN | 0.022 | 0.0 | -1 | 100 | NaN | NaN | 0.702 | 0.000 | 5.102 | 5.102 | See | See |
| 20 | KNeighborsClassifier_kd_tree | False | fit | 1000000 | 1000000 | 10 | 3.656 | 0.0 | NaN | NaN | 0.022 | 0.0 | 1 | 5 | NaN | 1.000 | 0.000 | 0.000 | 31067.832 | 39240.289 | See | See |
| 25 | KNeighborsClassifier_kd_tree | False | fit | 1000000 | 1000000 | 10 | 3.614 | 0.0 | NaN | NaN | 0.022 | 0.0 | 1 | 1 | NaN | 0.917 | 0.005 | 0.000 | 774.527 | 776.517 | See | See |
| 30 | KNeighborsClassifier_kd_tree | False | fit | 1000 | 1000 | 2 | 0.003 | 0.0 | NaN | NaN | 0.006 | 0.0 | -1 | 1 | NaN | NaN | 0.003 | 0.000 | 0.906 | 0.906 | See | See |
| 35 | KNeighborsClassifier_kd_tree | False | fit | 1000 | 1000 | 2 | 0.001 | 0.0 | NaN | NaN | 0.024 | 0.0 | -1 | 5 | NaN | 1.000 | 0.000 | 0.000 | 5.891 | 7.502 | See | See |
| estimator | is_onnx | function | n_samples_train | n_samples | n_features | mean_duration_sklearn | std_duration_sklearn | n_iter | best_iteration | iteration_throughput | latency | n_jobs | n_neighbors | accuracy_score_sklearn | accuracy_score_sklearnex | mean_duration_sklearnex | std_duration_sklearnex | speedup | std_speedup | sklearn_profiling | sklearnex_profiling | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | KNeighborsClassifier_kd_tree | True | predict | 1000000 | 1000 | 10 | 111.325 | 0.000 | NaN | NaN | 0.000 | 0.111 | -1 | 1 | 0.929 | 0.910 | 0.114 | 0.003 | 979.420 | 979.757 | See | See |
| 2 | KNeighborsClassifier_kd_tree | False | predict | 1000000 | 1000 | 10 | 0.472 | 0.007 | NaN | NaN | 0.000 | 0.000 | -1 | 1 | 0.929 | 1.000 | 0.000 | 0.000 | 1603.727 | 1790.399 | See | See |
| 3 | KNeighborsClassifier_kd_tree | True | predict | 1000000 | 1 | 10 | 2.558 | 0.061 | NaN | NaN | 0.000 | 2.558 | -1 | 1 | 1.000 | NaN | 0.717 | 0.000 | 3.566 | 3.566 | See | See |
| 4 | KNeighborsClassifier_kd_tree | False | predict | 1000000 | 1 | 10 | 0.003 | 0.000 | NaN | NaN | 0.000 | 0.003 | -1 | 1 | 1.000 | 0.941 | 0.211 | 0.013 | 0.012 | 0.012 | See | See |
| 6 | KNeighborsClassifier_kd_tree | True | predict | 1000000 | 1000 | 10 | 108.213 | 0.000 | NaN | NaN | 0.000 | 0.108 | -1 | 5 | 0.946 | NaN | 0.723 | 0.000 | 149.666 | 149.666 | See | See |
| 7 | KNeighborsClassifier_kd_tree | False | predict | 1000000 | 1000 | 10 | 0.893 | 0.006 | NaN | NaN | 0.000 | 0.001 | -1 | 5 | 0.946 | 0.940 | 0.606 | 0.007 | 1.473 | 1.473 | See | See |
| 8 | KNeighborsClassifier_kd_tree | True | predict | 1000000 | 1 | 10 | 2.582 | 0.093 | NaN | NaN | 0.000 | 2.582 | -1 | 5 | 1.000 | 1.000 | 0.001 | 0.000 | 3151.138 | 3414.864 | See | See |
| 9 | KNeighborsClassifier_kd_tree | False | predict | 1000000 | 1 | 10 | 0.003 | 0.001 | NaN | NaN | 0.000 | 0.003 | -1 | 5 | 1.000 | NaN | 0.723 | 0.000 | 0.004 | 0.004 | See | See |
| 11 | KNeighborsClassifier_kd_tree | True | predict | 1000000 | 1000 | 10 | 110.673 | 0.000 | NaN | NaN | 0.000 | 0.111 | 1 | 100 | 0.951 | 1.000 | 0.001 | 0.000 | 135396.155 | 146750.426 | See | See |
| 12 | KNeighborsClassifier_kd_tree | False | predict | 1000000 | 1000 | 10 | 5.156 | 0.010 | NaN | NaN | 0.000 | 0.005 | 1 | 100 | 0.951 | NaN | 0.709 | 0.000 | 7.268 | 7.268 | See | See |
| 13 | KNeighborsClassifier_kd_tree | True | predict | 1000000 | 1 | 10 | 2.584 | 0.074 | NaN | NaN | 0.000 | 2.584 | 1 | 100 | 1.000 | 0.941 | 0.211 | 0.001 | 12.227 | 12.227 | See | See |
| 14 | KNeighborsClassifier_kd_tree | False | predict | 1000000 | 1 | 10 | 0.003 | 0.001 | NaN | NaN | 0.000 | 0.003 | 1 | 100 | 1.000 | 1.000 | 0.000 | 0.000 | 7.266 | 7.989 | See | See |
| 16 | KNeighborsClassifier_kd_tree | True | predict | 1000000 | 1000 | 10 | 121.503 | 0.000 | NaN | NaN | 0.000 | 0.122 | -1 | 100 | 0.951 | 0.910 | 0.117 | 0.002 | 1039.225 | 1039.386 | See | See |
| 17 | KNeighborsClassifier_kd_tree | False | predict | 1000000 | 1000 | 10 | 2.952 | 0.012 | NaN | NaN | 0.000 | 0.003 | -1 | 100 | 0.951 | 1.000 | 0.000 | 0.000 | 10161.789 | 11270.864 | See | See |
| 18 | KNeighborsClassifier_kd_tree | True | predict | 1000000 | 1 | 10 | 2.590 | 0.094 | NaN | NaN | 0.000 | 2.590 | -1 | 100 | 1.000 | NaN | 0.001 | 0.000 | 2714.924 | 2714.924 | See | See |
| 19 | KNeighborsClassifier_kd_tree | False | predict | 1000000 | 1 | 10 | 0.005 | 0.001 | NaN | NaN | 0.000 | 0.005 | -1 | 100 | 1.000 | 0.879 | 0.000 | 0.000 | 10.491 | 10.903 | See | See |
| 21 | KNeighborsClassifier_kd_tree | True | predict | 1000000 | 1000 | 10 | 121.827 | 0.000 | NaN | NaN | 0.000 | 0.122 | 1 | 5 | 0.946 | NaN | 0.003 | 0.000 | 48544.851 | 48544.851 | See | See |
| 22 | KNeighborsClassifier_kd_tree | False | predict | 1000000 | 1000 | 10 | 1.530 | 0.005 | NaN | NaN | 0.000 | 0.002 | 1 | 5 | 0.946 | 0.905 | 0.001 | 0.000 | 1904.947 | 1947.084 | See | See |
| 23 | KNeighborsClassifier_kd_tree | True | predict | 1000000 | 1 | 10 | 2.586 | 0.075 | NaN | NaN | 0.000 | 2.586 | 1 | 5 | 1.000 | 1.000 | 0.000 | 0.000 | 22963.682 | 30156.187 | See | See |
| 24 | KNeighborsClassifier_kd_tree | False | predict | 1000000 | 1 | 10 | 0.002 | 0.000 | NaN | NaN | 0.000 | 0.002 | 1 | 5 | 1.000 | NaN | 0.004 | 0.000 | 0.421 | 0.421 | See | See |
| 26 | KNeighborsClassifier_kd_tree | True | predict | 1000000 | 1000 | 10 | 124.189 | 0.000 | NaN | NaN | 0.000 | 0.124 | 1 | 1 | 0.929 | 1.000 | 0.000 | 0.000 | 1040694.147 | 1263341.597 | See | See |
| 27 | KNeighborsClassifier_kd_tree | False | predict | 1000000 | 1000 | 10 | 0.815 | 0.006 | NaN | NaN | 0.000 | 0.001 | 1 | 1 | 0.929 | NaN | 0.005 | 0.000 | 173.847 | 173.847 | See | See |
| 28 | KNeighborsClassifier_kd_tree | True | predict | 1000000 | 1 | 10 | 2.584 | 0.104 | NaN | NaN | 0.000 | 2.584 | 1 | 1 | 1.000 | 0.917 | 0.005 | 0.000 | 560.283 | 561.881 | See | See |
| 29 | KNeighborsClassifier_kd_tree | False | predict | 1000000 | 1 | 10 | 0.001 | 0.000 | NaN | NaN | 0.000 | 0.001 | 1 | 1 | 1.000 | 1.000 | 0.000 | 0.000 | 8.011 | 10.110 | See | See |
| 31 | KNeighborsClassifier_kd_tree | True | predict | 1000 | 1000 | 2 | 0.038 | 0.001 | NaN | NaN | 0.000 | 0.000 | -1 | 1 | 0.891 | 0.905 | 0.001 | 0.000 | 52.314 | 53.485 | See | See |
| 32 | KNeighborsClassifier_kd_tree | False | predict | 1000 | 1000 | 2 | 0.021 | 0.001 | NaN | NaN | 0.001 | 0.000 | -1 | 1 | 0.891 | 1.000 | 0.000 | 0.000 | 184.123 | 236.107 | See | See |
| 33 | KNeighborsClassifier_kd_tree | True | predict | 1000 | 1 | 2 | 0.005 | 0.000 | NaN | NaN | 0.000 | 0.005 | -1 | 1 | 1.000 | NaN | 0.005 | 0.000 | 1.005 | 1.005 | See | See |
| 34 | KNeighborsClassifier_kd_tree | False | predict | 1000 | 1 | 2 | 0.002 | 0.000 | NaN | NaN | 0.000 | 0.002 | -1 | 1 | 1.000 | 0.879 | 0.000 | 0.000 | 4.582 | 4.746 | See | See |
KMeans_tall¶scikit-learn-intelex (2021.20210705.191215) vs. scikit-learn (1.0.dev0)
All estimators share the following hyperparameters: algorithm=full, n_clusters=3, max_iter=30, n_init=1, tol=1e-16.
| estimator | is_onnx | function | n_samples_train | n_samples | n_features | mean_duration_sklearn | std_duration_sklearn | n_iter_sklearn | best_iteration | iteration_throughput | latency | init | adjusted_rand_score_sklearn | n_iter_sklearnex | adjusted_rand_score_sklearnex | mean_duration_sklearnex | std_duration_sklearnex | speedup | std_speedup | sklearn_profiling | sklearnex_profiling | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | KMeans_tall | False | fit | 1000000 | 1000000 | 2 | 0.679 | 0.0 | 30 | NaN | 0.024 | 0.0 | random | NaN | 30 | NaN | 0.388 | 0.0 | 1.751 | 1.751 | See | See |
| 3 | KMeans_tall | False | fit | 1000000 | 1000000 | 2 | 0.551 | 0.0 | 30 | NaN | 0.029 | 0.0 | k-means++ | NaN | 30 | NaN | 0.430 | 0.0 | 1.281 | 1.281 | See | See |
| 6 | KMeans_tall | False | fit | 1000000 | 1000000 | 100 | 5.760 | 0.0 | 30 | NaN | 0.139 | 0.0 | random | NaN | 30 | NaN | 2.719 | 0.0 | 2.118 | 2.118 | See | See |
| 9 | KMeans_tall | False | fit | 1000000 | 1000000 | 100 | 5.780 | 0.0 | 30 | NaN | 0.138 | 0.0 | k-means++ | NaN | 30 | NaN | 2.814 | 0.0 | 2.054 | 2.054 | See | See |
| estimator | is_onnx | function | n_samples_train | n_samples | n_features | mean_duration_sklearn | std_duration_sklearn | n_iter_sklearn | best_iteration | iteration_throughput | latency | init | adjusted_rand_score_sklearn | n_iter_sklearnex | adjusted_rand_score_sklearnex | mean_duration_sklearnex | std_duration_sklearnex | speedup | std_speedup | sklearn_profiling | sklearnex_profiling | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | KMeans_tall | False | predict | 1000000 | 1000 | 2 | 0.001 | 0.0 | 30 | NaN | 0.011 | 0.000 | random | 0.000 | 30 | 0.001 | 0.0 | 0.0 | 8.897 | 10.623 | See | See |
| 2 | KMeans_tall | False | predict | 1000000 | 1 | 2 | 0.001 | 0.0 | 30 | NaN | 0.000 | 0.001 | random | 1.000 | 30 | 1.000 | 0.0 | 0.0 | 10.537 | 12.859 | See | See |
| 4 | KMeans_tall | False | predict | 1000000 | 1000 | 2 | 0.001 | 0.0 | 30 | NaN | 0.012 | 0.000 | k-means++ | 0.001 | 30 | 0.001 | 0.0 | 0.0 | 8.861 | 10.789 | See | See |
| 5 | KMeans_tall | False | predict | 1000000 | 1 | 2 | 0.001 | 0.0 | 30 | NaN | 0.000 | 0.001 | k-means++ | 1.000 | 30 | 1.000 | 0.0 | 0.0 | 10.948 | 13.444 | See | See |
| 7 | KMeans_tall | False | predict | 1000000 | 1000 | 100 | 0.002 | 0.0 | 30 | NaN | 0.477 | 0.000 | random | 0.002 | 30 | 0.002 | 0.0 | 0.0 | 5.593 | 6.215 | See | See |
| 8 | KMeans_tall | False | predict | 1000000 | 1 | 100 | 0.001 | 0.0 | 30 | NaN | 0.001 | 0.001 | random | 1.000 | 30 | 1.000 | 0.0 | 0.0 | 10.395 | 12.724 | See | See |
| 10 | KMeans_tall | False | predict | 1000000 | 1000 | 100 | 0.002 | 0.0 | 30 | NaN | 0.448 | 0.000 | k-means++ | 0.002 | 30 | 0.002 | 0.0 | 0.0 | 6.582 | 7.354 | See | See |
| 11 | KMeans_tall | False | predict | 1000000 | 1 | 100 | 0.001 | 0.0 | 30 | NaN | 0.001 | 0.001 | k-means++ | 1.000 | 30 | 1.000 | 0.0 | 0.0 | 10.347 | 12.556 | See | See |
KMeans_short¶scikit-learn-intelex (2021.20210705.191215) vs. scikit-learn (1.0.dev0)
All estimators share the following hyperparameters: algorithm=full, n_clusters=300, max_iter=20, n_init=1, tol=1e-16.
| estimator | is_onnx | function | n_samples_train | n_samples | n_features | mean_duration_sklearn | std_duration_sklearn | n_iter_sklearn | best_iteration | iteration_throughput | latency | init | adjusted_rand_score_sklearn | n_iter_sklearnex | adjusted_rand_score_sklearnex | mean_duration_sklearnex | std_duration_sklearnex | speedup | std_speedup | sklearn_profiling | sklearnex_profiling | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | KMeans_short | False | fit | 10000 | 10000 | 2 | 0.073 | 0.0 | 20 | NaN | 0.002 | 0.0 | random | NaN | 20 | NaN | 0.043 | 0.0 | 1.705 | 1.705 | See | See |
| 3 | KMeans_short | False | fit | 10000 | 10000 | 2 | 0.214 | 0.0 | 20 | NaN | 0.001 | 0.0 | k-means++ | NaN | 20 | NaN | 0.080 | 0.0 | 2.668 | 2.668 | See | See |
| 6 | KMeans_short | False | fit | 10000 | 10000 | 100 | 0.453 | 0.0 | 20 | NaN | 0.018 | 0.0 | random | NaN | 20 | NaN | 0.113 | 0.0 | 4.000 | 4.000 | See | See |
| 9 | KMeans_short | False | fit | 10000 | 10000 | 100 | 0.556 | 0.0 | 20 | NaN | 0.014 | 0.0 | k-means++ | NaN | 20 | NaN | 0.309 | 0.0 | 1.800 | 1.800 | See | See |
| estimator | is_onnx | function | n_samples_train | n_samples | n_features | mean_duration_sklearn | std_duration_sklearn | n_iter_sklearn | best_iteration | iteration_throughput | latency | init | adjusted_rand_score_sklearn | n_iter_sklearnex | adjusted_rand_score_sklearnex | mean_duration_sklearnex | std_duration_sklearnex | speedup | std_speedup | sklearn_profiling | sklearnex_profiling | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | KMeans_short | False | predict | 10000 | 1000 | 2 | 0.002 | 0.000 | 20 | NaN | 0.009 | 0.000 | random | 0.002 | 20 | 0.001 | 0.001 | 0.0 | 3.131 | 3.282 | See | See |
| 2 | KMeans_short | False | predict | 10000 | 1 | 2 | 0.007 | 0.012 | 20 | NaN | 0.000 | 0.007 | random | 1.000 | 20 | 1.000 | 0.000 | 0.0 | 49.869 | 61.145 | See | See |
| 4 | KMeans_short | False | predict | 10000 | 1000 | 2 | 0.004 | 0.007 | 20 | NaN | 0.004 | 0.000 | k-means++ | 0.002 | 20 | 0.001 | 0.001 | 0.0 | 8.252 | 8.444 | See | See |
| 5 | KMeans_short | False | predict | 10000 | 1 | 2 | 0.003 | 0.005 | 20 | NaN | 0.000 | 0.003 | k-means++ | 1.000 | 20 | 1.000 | 0.000 | 0.0 | 25.456 | 31.117 | See | See |
| 7 | KMeans_short | False | predict | 10000 | 1000 | 100 | 0.002 | 0.000 | 20 | NaN | 0.325 | 0.000 | random | 0.321 | 20 | 0.311 | 0.001 | 0.0 | 2.275 | 2.307 | See | See |
| 8 | KMeans_short | False | predict | 10000 | 1 | 100 | 0.001 | 0.000 | 20 | NaN | 0.001 | 0.001 | random | 1.000 | 20 | 1.000 | 0.000 | 0.0 | 8.539 | 9.984 | See | See |
| 10 | KMeans_short | False | predict | 10000 | 1000 | 100 | 0.003 | 0.000 | 20 | NaN | 0.318 | 0.000 | k-means++ | 0.381 | 20 | 0.286 | 0.001 | 0.0 | 2.511 | 2.547 | See | See |
| 11 | KMeans_short | False | predict | 10000 | 1 | 100 | 0.002 | 0.000 | 20 | NaN | 0.001 | 0.002 | k-means++ | 1.000 | 20 | 1.000 | 0.000 | 0.0 | 9.019 | 10.596 | See | See |
LogisticRegression¶scikit-learn-intelex (2021.20210705.191215) vs. scikit-learn (1.0.dev0)
All estimators share the following hyperparameters: penalty=l2, dual=False, tol=0.0001, C=1.0, fit_intercept=True, intercept_scaling=1, class_weight=nan, random_state=nan, solver=lbfgs, max_iter=100, multi_class=auto, verbose=0, warm_start=False, n_jobs=nan, l1_ratio=nan.
| estimator | is_onnx | function | n_samples_train | n_samples | n_features | mean_duration_sklearn | std_duration_sklearn | n_iter | best_iteration | iteration_throughput | latency | class_weight | l1_ratio | n_jobs | random_state | accuracy_score | mean_duration_sklearnex | std_duration_sklearnex | speedup | std_speedup | sklearn_profiling | sklearnex_profiling | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | LogisticRegression | False | fit | 1000000 | 1000000 | 100 | 11.692 | 0.0 | [20] | NaN | 0.068 | 0.000 | NaN | NaN | NaN | NaN | NaN | 1.990 | 0.0 | 5.874 | 5.874 | See | See |
| 3 | LogisticRegression | False | fit | 1000 | 1000 | 10000 | 2.455 | 0.0 | [26] | NaN | 0.033 | 0.002 | NaN | NaN | NaN | NaN | NaN | 0.894 | 0.0 | 2.746 | 2.746 | See | See |
| estimator | is_onnx | function | n_samples_train | n_samples | n_features | mean_duration_sklearn | std_duration_sklearn | n_iter | best_iteration | iteration_throughput | latency | class_weight | l1_ratio | n_jobs | random_state | accuracy_score | mean_duration_sklearnex | std_duration_sklearnex | speedup | std_speedup | sklearn_profiling | sklearnex_profiling | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | LogisticRegression | False | predict | 1000000 | 1000 | 100 | 0.000 | 0.0 | [20] | NaN | 2.457 | 0.0 | NaN | NaN | NaN | NaN | 0.56 | 0.000 | 0.0 | 0.953 | 1.044 | See | See |
| 2 | LogisticRegression | False | predict | 1000000 | 1 | 100 | 0.000 | 0.0 | [20] | NaN | 0.012 | 0.0 | NaN | NaN | NaN | NaN | 1.00 | 0.000 | 0.0 | 0.373 | 0.437 | See | See |
| 4 | LogisticRegression | False | predict | 1000 | 100 | 10000 | 0.002 | 0.0 | [26] | NaN | 5.138 | 0.0 | NaN | NaN | NaN | NaN | 0.35 | 0.003 | 0.0 | 0.530 | 0.535 | See | See |
| 5 | LogisticRegression | False | predict | 1000 | 1 | 10000 | 0.000 | 0.0 | [26] | NaN | 0.922 | 0.0 | NaN | NaN | NaN | NaN | 0.00 | 0.001 | 0.0 | 0.123 | 0.127 | See | See |
Ridge¶scikit-learn-intelex (2021.20210705.191215) vs. scikit-learn (1.0.dev0)
All estimators share the following hyperparameters: alpha=1.0, fit_intercept=True, normalize=deprecated, copy_X=True, max_iter=nan, tol=0.001, solver=auto, random_state=nan.
| estimator | is_onnx | function | n_samples_train | n_samples | n_features | mean_duration_sklearn | std_duration_sklearn | n_iter | best_iteration | iteration_throughput | latency | max_iter | random_state | r2_score | mean_duration_sklearnex | std_duration_sklearnex | speedup | std_speedup | sklearn_profiling | sklearnex_profiling | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | Ridge | False | fit | 1000 | 1000 | 10000 | 0.182 | 0.0 | NaN | NaN | 0.440 | 0.0 | NaN | NaN | NaN | 0.182 | 0.0 | 0.998 | 0.998 | See | See |
| 3 | Ridge | False | fit | 1000000 | 1000000 | 100 | 1.490 | 0.0 | NaN | NaN | 0.537 | 0.0 | NaN | NaN | NaN | 0.562 | 0.0 | 2.651 | 2.651 | See | See |
| estimator | is_onnx | function | n_samples_train | n_samples | n_features | mean_duration_sklearn | std_duration_sklearn | n_iter | best_iteration | iteration_throughput | latency | max_iter | random_state | r2_score | mean_duration_sklearnex | std_duration_sklearnex | speedup | std_speedup | sklearn_profiling | sklearnex_profiling | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | Ridge | False | predict | 1000 | 1000 | 10000 | 0.011 | 0.0 | NaN | NaN | 7.045 | 0.0 | NaN | NaN | 0.083 | 0.019 | 0.001 | 0.602 | 0.602 | See | See |
| 2 | Ridge | False | predict | 1000 | 1 | 10000 | 0.000 | 0.0 | NaN | NaN | 1.014 | 0.0 | NaN | NaN | NaN | 0.000 | 0.000 | 0.716 | 0.856 | See | See |
| 4 | Ridge | False | predict | 1000000 | 1000 | 100 | 0.000 | 0.0 | NaN | NaN | 5.674 | 0.0 | NaN | NaN | 1.000 | 0.000 | 0.000 | 0.631 | 0.726 | See | See |
| 5 | Ridge | False | predict | 1000000 | 1 | 100 | 0.000 | 0.0 | NaN | NaN | 0.013 | 0.0 | NaN | NaN | NaN | 0.000 | 0.000 | 0.680 | 0.853 | See | See |